Combining Time-of-Flight Secondary Ion Mass Spectrometry Imaging

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Combining ToF-SIMS imaging mass spectrometry and CARS microspectroscopy reveals lipid patterns reminiscent of gene expression patterns in the wing imaginal disc of Drosophila melanogaster Florian Marty, Gianluca Rago, Donald F. Smith, Xiaoli Gao, Gert B. Eijkel, Luke MacAleese, Mischa Bonn, Erich Brunner, Konrad Basler, and Ron M.A. Heeren Anal. Chem., Just Accepted Manuscript • DOI: 10.1021/acs.analchem.7b00125 • Publication Date (Web): 20 Jul 2017 Downloaded from http://pubs.acs.org on July 21, 2017

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Analytical Chemistry

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Combining ToF-SIMS imaging mass spectrometry and CARS microspectroscopy

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reveals lipid patterns reminiscent of gene expression patterns in the wing imaginal disc

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of Drosophila melanogaster

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Authors: Florian Marty1†, Gianluca Rago2,3, Donald F. Smith2, Xiaoli Gao4, Gert B.

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Eijkel2,5, Luke MacAleese2††, Mischa Bonn2,3, Erich Brunner1, Konrad Basler1*, Ron M.A.

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Heeren2,5*

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Affiliations:

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1

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8057 Zürich, Switzerland

Institute of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, CH-

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FOM-Institute AMOLF, Science Park 104, 1098 XG Amsterdam, The Netherlands

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3

Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany

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Institutional Mass Spectrometry Laboratory, The University of Texas Health Science Center

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at San Antonio, 8403 Floyd Curl Drive, MC-7760 San Antonio, TX, USA

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Universiteitssingel 50, 6229 ER Maastricht, The Netherlands

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*Correspondence to: [email protected], [email protected]

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Current address:

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Biognosys AG, Wagistrasse 21, 8952 Schlieren

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††

Groupe de Spectrométries des Biomolécules et Agrégats Institut Lumière Matière Cité Lyonnaise de l'Environnement et de l'Analyse

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The

Maastricht Multimodal Molecular Imaging Institute,

5 rue de la Doua, 69100 Villeurbanne, France

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Maastricht University,

Analytical Chemistry

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Abstract:

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Using label-free ToF-SIMS imaging mass spectrometry, we generated a map of small

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molecules differentially expressed in the Drosophila wing imaginal disc. The distributions of

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these moieties were in line with gene expression patterns observed during wing imaginal disc

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development. Combining ToF-SIMS imaging and coherent anti-Stokes Raman spectroscopy

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(CARS) microspectroscopy allowed us to locally identify acylglycerols as the main

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constituents of the pattern differentiating the future body wall tissue from the wing blade

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tissue. The findings presented herein clearly demonstrate that lipids localization patterns are

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strongly correlated with a developmental gene expression. From this correlation we

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hypothesize that lipids play a so far unrecognized role in organ development.

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One Sentence Summary:

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Spatially confined acylglycerols on the surface of the Drosophila wing imaginal disc reveal

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known gene expression patterns important for proper development.

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Analytical Chemistry

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Introduction

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and growth events. Model organisms such as Drosophila melanogaster are often used to

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study these developmental events and gain fundamental insight of organ development. The

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majority of pathways governing the development of Drosophila are evolutionarily

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conserved[1]. Therefore, knowledge gained by studying this model organism’s development

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can be transferred to other species such as humans.

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The appendages of the adult fly such as wings, legs or antenna develop from organ primordia

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called imaginal discs[2, 3]. The discs are subdivided into different compartments (e.g. dorsal,

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ventral, anterior, posterior compartments). The compartments are made of cells with distinct

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identities that do not mix[4-6]. Compartmentalization is established in the early embryo,

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when the major body-axes are determined. The compartment boundaries act as organizing

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centers that govern growth, patterning and development of these discs. The boundaries define

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the expression of so-called morphogens, proteins which act either locally or diffuse over

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short and/or long ranges to pattern the growing organ[7-11]. The identification of the

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molecules (classically proteins and RNAs) are often assigned to defined developmental

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processes due to their expression patterns or localizations to specific areas of the developing

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tissue. Genes with similar restricted expression patterns are thought to play related roles. In

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contrast to the wealth of knowledge that has been obtained about the spatio-temporal

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restriction of gene expression, as well as that of the corresponding RNAs and proteoforms,

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the organization and distribution of other molecules, such as carbohydrates and lipids, is not

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well understood. This lack of knowledge can be traced back to the challenges associated with

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studying the localization of small molecules, e.g. lipids, with high spatial resolution. Recent

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work in the model system Drosophila melanogaster have described and quantified lipids over

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the course of its life cycle [12, 13]. These studies demonstrated that different tissues exhibit

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distinct phospholipid compositions but did not report the intra-organ distribution of these

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small molecules. Such spatial information is crucial to relate specific molecular moieties to

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specific biological processes in genetic, disease or developmental models. In order to identify

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novel small molecules, such as lipids and carbohydrates, that are crucial for a developmental

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process, we need to look for distribution patterns that resembled those of already known

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components.

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In this work, we determined the distribution of small molecules in the Drosophila wing

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imaginal disc, using a combination of imaging time-of-flight secondary ion mass

Tissue and organ development is governed by a multitude of signaling processes, patterning-

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spectrometry (ToF-SIMS) and coherent anti-Stokes Raman spectroscopy (CARS). These two

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complementary, label-free techniques make use of two inherent properties of small

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molecules, their mass and vibrational properties. We demonstrate that small molecules show

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well-defined distributions within this tissue. Strikingly, these distributions mimic genetically

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established patterns known to be essential for wing development and growth.

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Material and Methods

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Sample preparation

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Drosophila melanogaster were grown under standard growth conditions at 22°C. Adult flies

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were transferred to new food every two days. Wing imaginal discs were manually dissected

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from wild-type yellow white (yw) third instar larvae (day 6 after egg laying) for CARS and

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ToF-SIMS analyses unless stated otherwise. For ToF-SIMS analysis (results shown in

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Figures 1A and 2A, B, C), genetically modified Drosophila lines with the genotype yw,hsp-

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flp; UAS-mCD8::GFP/CyO; hh-Gal4/TM6b were used32. The mCD8::GFP is a fusion

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protein between mouse lymphocyte marker CD8 and the green fluorescence protein which is

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expressed under hh control in this study. Wing imaginal discs were manually dissected in ice-

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cold phosphate-buffered saline (PBS) and dehydrated in a 10 × PBS solution (Sigma-Aldrich,

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Zwijndrecht, NL) for 30 min. For CARS, the discs were then mounted on conventional

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microscopy cover slides, washed with MS-grade water (Sigma-Aldrich, Zwijndrecht, NL)

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three times to remove additional salts and then analyzed.

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For ToF-SIMS, discs were transferred to a conductive ITO slides with 4–8 Ώ resistance,

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Delta Technologies, Stillwater, MN). The discs were washed with MS grade water (Sigma-

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Aldrich, Zwijndrecht, NL) three times to remove additional salts and then air dried. The discs

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were then covered with a 2-nm gold layer using a sputter coater (Quorums Technologies

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SC7640, Newhaven, UK) equipped with a FT7607 quartz crystal microbalance stage and a

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FT7690 film thickness monitor . For LCMS/MS analysis a Bligh and Dyer extract was

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prepared from the wingdiscs prior to analysis [14].

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Microscopy

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Analytical Chemistry

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Discs were imaged with a Leica DMRX (Leica, Wetzlar, Germany) microscope equipped

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with an OSRAM HBO 50W/L2 short arc mercury lamp (Osram AG, München, Germany) at

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10× magnification.

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Data acquisition

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ToF-SIMS:

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Secondary Ion Mass Spectrometry was performed using a Physical Electronics (PHI) TRIple

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focusing ToF ion (TRIFT-II) instrument equipped with a gold liquid metal ion gun (Physical

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Electronics, Chanhassan, MN, USA). Twenty-two keV Au+ primary ions were “micro”

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focused on the sample surface. The total primary ion dose density amount was kept well

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below the static limit. Positive or negative secondary ions were extracted to the mass analyzer

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with a static voltage of ±3.5 kV and post-accelerated in front of the ion detector (dual-stage

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microchannel plate) by an additional 10 kV. Signal from ions in the m/z range 1–1500 m/z

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was recorded. Full wing discs were imaged step-by-step in a mosaic formed by 8 × 8

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individual tiles between which the stage moved [15, 16]. Each tile of about 80–95 µm in

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width was probed by the primary ion beam in a 256 × 256 pixel raster for a duration of 30 sec

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to ensure that the total ion dose was below the static limit of SIMS. The size of each pixel

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was approximately 0.35 µm. The resulting image was saved as a RAW file for further data

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processing. The pulse width of the primary ion beam was 1 ns.

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CARS microspectroscopy:

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A dual-output laser source (Leukos-CARS, Leukos, Limoges, France) provided the pump and

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Stokes beams to enable CARS analysis. The laser source was a passively Q-switched 1064-

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nm microchip laser, delivering 100 µW nm−1

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spectral power density from 1.05 µm to 1.6 µm. The supercontinuum was coupled out of the

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fiber with a reflective collimator (RC04APC-P01, Thorlabs, USA) and passed through 700-

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nm (FEL0700, Thorlabs, USA) and 830-nm (LP02-830RS-25, Semrock, USA) long-pass

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filters. The Stokes and pump beams overlapped at a dichroic mirror (LP02-1064RU-25,

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Semrock, USA) and introduced into a modified inverted microscope (Eclipse Ti-U, Nikon,

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Japan). The pump and Stokes pulses were tightly focused onto the sample with a near IR

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Analytical Chemistry

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objective (PE IR Plan Apo 100X, NA 0.75, Seiwa, Japan). The sample was mounted on

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nested stepper-motor-driven (Microstage, Mad City Labs, USA) and piezo-driven stages

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(Nano-PDQ 375 HS, Mad City Labs, USA) that together provide 25-mm travel range with

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